As an Architect at QuantumBlack, AI by McKinsey, I design and implement scalable data pipelines and machine learning solutions for clients across various industries and domains. I leverage my skills and experience in MLOps, Big Data, and Cloud technologies, such as AWS SageMaker, Azure Databricks, and GCP, to deliver high-quality and innovative products and services.I have a strong passion for data science and artificial intelligence, and I continuously learn and apply new ideas and techniques to solve complex and challenging problems. I have completed multiple nanodegrees and certifications in NLP, Deep Learning, and Data Science from Udacity, and I have won several awards and honors for my projects and achievements, such as the Hackathon by Altimetrik and the IEEE Global Student Website and Social Media Competition. I hold a Bachelor of Engineering (BE) in Computer Science from B. M. S. College of Engineering, where I also interned at the Centre for Artificial Intelligence and Robotics (CAIR) at the Defence Research and Development Organisation (DRDO).I am a collaborative and proactive team player, who values initiative, creativity, and diversity. I enjoy working with talented and driven people from different backgrounds and cultures, and I strive to deliver value and impact for our clients and our organization. My goal is to advance my career as a data engineer and data scientist, and to contribute to the advancement and adoption of AI and digital transformation in the world.